Cover Image

Mini-Batch Stochastic Krasnosel'ski\uı-Mann Algorithm for Nonexpansive Fixed Point Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Iiduka, Hideaki
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control 47J26, 65K05, 90C15
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Krasnoselskii-Mann Iterations: Convergence without Uniformly Bounded Variance
by: Cortild, Daniel, et al.
Published: (2026)

Convergence of the Preconditioned Proximal Point Method and Douglas-Rachford Splitting in the Absence of Monotonicity
by: Evens, Brecht, et al.
Published: (2023)

A Theory of Composition and Duality of Extremal Optimal Fixed-Point Algorithms
by: Yoon, TaeHo, et al.
Published: (2026)

Fast Krasnoselskii-Mann Method with Overrelaxation and Preconditioners
by: Boţ, Radu I., et al.
Published: (2024)

Symplectic Discretization Approach for Developing New Proximal Point Algorithm
by: Yuan, Ya-xiang, et al.
Published: (2023)

Tikhonov regularization of monotone operator flows not only ensures strong convergence of the trajectories but also speeds up the vanishing of the residuals
by: Bot, Radu Ioan, et al.
Published: (2024)

Mini-Batch Stochastic Halpern Algorithm for Nonexpansive Fixed point Problems
by: Iiduka, Hideaki
Published: (2026)

Convergence of Descent Optimization Algorithms under Polyak-Łojasiewicz-Kurdyka Conditions
by: Bento, G. C., et al.
Published: (2024)

Forward Primal-Dual Half-Forward Algorithm for Splitting Four Operators
by: Roldán, Fernando
Published: (2023)

Reinforcement-learning-based Algorithms for Optimization Problems and Applications to Inverse Problems
by: Xu, Chen, et al.
Published: (2023)

Krasnoselskii-Mann Iterations: Inertia, Perturbations and Approximation
by: Cortild, Daniel, et al.
Published: (2024)

Symplectic Extra-gradient Type Method for Solving General Non-monotone Inclusion Problem
by: Yuan, Ya-xiang, et al.
Published: (2024)

A robust regularized extreme learning machine for regression problems based on self-adaptive accelerated extra-gradient algorithm
by: Adegoke, Muideen, et al.
Published: (2024)

An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization
by: Engquist, Björn, et al.
Published: (2022)

Relaxed and inertial nonlinear Forward-Backward algorithm
by: Maulén, Juan José, et al.
Published: (2025)

A Three-Operator Splitting Scheme Derived from Three-Block ADMM
by: Anshika, Anshika, et al.
Published: (2024)

Relaxed and Inertial Nonlinear Forward-Backward with Momentum
by: Roldán, Fernando, et al.
Published: (2024)

Fast Optimistic Gradient Descent Ascent (OGDA) method in continuous and discrete time
by: Bot, Radu Ioan, et al.
Published: (2022)

An Inexact Boosted Difference of Convex Algorithm for Nondifferentiable Functions
by: Ferreira, Orizon P., et al.
Published: (2024)

A Stochastic Block-coordinate Proximal Newton Method for Nonconvex Composite Minimization
by: Zhu, Hong, et al.
Published: (2024)

Splitting Algorithms for Distributionally Robust Optimization
by: Briceño-Arias, Luis, et al.
Published: (2024)

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods
by: Ahookhosh, Masoud, et al.
Published: (2026)

Three-Operator Splitting Method with Two-Step Inertial Extrapolation
by: Iyiola, Olaniyi S., et al.
Published: (2024)

On Opial's Lemma
by: Arakcheev, Aleksandr, et al.
Published: (2025)

Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity
by: Evens, Brecht, et al.
Published: (2023)

Nonlinear forward-backward-half forward splitting with momentum for monotone inclusions
by: Qin, Liqian, et al.
Published: (2025)

Nonlinear three-operator splitting algorithms with momentum for monotone inclusions
by: Qin, Liqian, et al.
Published: (2025)

Extra-Gradient Method with Flexible Anchoring: Strong Convergence and Fast Residual Decay
by: Boţ, Radu Ioan, et al.
Published: (2024)

Adaptive Stochastic Gradient Descent Ascent Algorithm for Nonconvex Minimax Problems with Decision-Dependent Distributions
by: Gao, Yan, et al.
Published: (2025)

An Algorithm to Solve Cardinality Constrained Quadratic Optimization Problem with an Application to the Best Subset Selection in Regression
by: Singh, Vikram, et al.
Published: (2025)

Non-Convex Self-Concordant Functions: Practical Algorithms and Complexity Analysis
by: Goldfarb, Donald, et al.
Published: (2025)

On the Convergence of HalpernSGD
by: Colao, Vittorio, et al.
Published: (2026)

Bregman Stochastic Proximal Point Algorithm with Variance Reduction
by: Traoré, Cheik, et al.
Published: (2025)

An Inexact Proximal Newton Method for Nonconvex Composite Minimization
by: Zhu, Hong
Published: (2024)

Boosted Stochastic Frank-Wolfe for Constrained Nonconvex Optimization
by: Nandhan, Navil, et al.
Published: (2026)

Bounding-Focused Discretization Methods for the Global Optimization of Nonconvex Semi-Infinite Programs
by: Turan, Evren M., et al.
Published: (2023)

Difference of Convex (DC) approach for neural network approximation with uniform loss function
by: Peiris, Vinesha, et al.
Published: (2026)

Stochastic Approach for Price Optimization Problems with Decision-dependent Uncertainty
by: Hikima, Yuya, et al.
Published: (2023)

A stochastic use of the Kurdyka-Lojasiewicz property: Investigation of optimization algorithms behaviours in a non-convex differentiable framework
by: Fest, Jean-Baptiste, et al.
Published: (2023)

Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption
by: Walwil, Iyad, et al.
Published: (2025)